Doing Data Science: Straight Talk from the Frontline

O'Neil, Cathy

ISBN 10: 1449358659 / ISBN 13: 9781449358655

Edité par O'Reilly Media, 2013

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Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes). N° de réf. du vendeur 001462551U

Détails bibliographiques

Titre : Doing Data Science: Straight Talk from the ...

Éditeur : O'Reilly Media

Date d'édition : 2013

Reliure : paperback

Etat : Good

Edition : 1st Edition.

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Synopsis :

Rare Book

Présentation de l'éditeur:

Now that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you get started working in a wide-ranging, interdisciplinary field that s so clouded in hype? This insightful book, based on Columbia University s Introduction to Data Science class, tells you what you need to know.

In many of these chapter-long lectures, data scientists from companies such as Google, Microsoft, and eBay share new algorithms, methods, and models by presenting case studies and the code they use. If you re familiar with linear algebra, probability, and statistics, and have programming experience, this book is an ideal introduction to data science.

Topics include:

• Statistical inference, exploratory data analysis, and the data science process
• Algorithms
• Spam filters, Naive Bayes, and data wrangling
• Logistic regression
• Financial modeling
• Recommendation engines and causality
• Data visualization
• Social networks and data journalism
• Data engineering, MapReduce, Pregel, and Hadoop

Doing Data Science is collaboration between course instructor Rachel Schutt, Senior VP of Data Science at News Corp, and data science consultant Cathy O Neil, a senior data scientist at Johnson Research Labs, who attended and blogged about the course.